
Sr. Data Engineer
at is a software product company that provides
5+ years of experience designing, developing, validating, and automating ETL processes 3+ years of experience traditional ETL tools such as Visual Studio, SQL Server Management Studio, SSIS, SSAS and SSRS 2+ years of experience with cloud technologies and platforms, such as: Kubernetes, Spark, Kafka, Azure Data Factory, Snowflake, ML Flow, Databricks, Airflow or similar Must have experience with designing and implementing data access layers Must be an expert with SQL/T-SQL and Python Must have experience in Kafka Define and implement data models with various database technologies like MongoDB, CosmosDB, Neo4j, MariaDB and SQL Serve Ingest and publish data from sources and to destinations via an API Exposure to ETL/ELT with using Kafka or Azure Event Hubs with Spark or Databricks is a plus Exposure to healthcare technologies and integrations for FHIR API, HL7 or other HIE protocols is a plus
Skills Required :
Designing, Developing, ETL, Visual Studio, Python, Spark, Kubernetes, Kafka, Azure Data Factory, SQL Server, Airflow, Databricks, T-SQL, MongoDB, CosmosDB, Snowflake, SSIS, SSAS, SSRS, FHIR API, HL7, HIE Protocols

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ROLE & RESPONSIBILITIES:
We are hiring a Senior DevSecOps / Security Engineer with 8+ years of experience securing AWS cloud, on-prem infrastructure, DevOps platforms, MLOps environments, CI/CD pipelines, container orchestration, and data/ML platforms. This role is responsible for creating and maintaining a unified security posture across all systems used by DevOps and MLOps teams — including AWS, Kubernetes, EMR, MWAA, Spark, Docker, GitOps, observability tools, and network infrastructure.
KEY RESPONSIBILITIES:
1. Cloud Security (AWS)-
- Secure all AWS resources consumed by DevOps/MLOps/Data Science: EC2, EKS, ECS, EMR, MWAA, S3, RDS, Redshift, Lambda, CloudFront, Glue, Athena, Kinesis, Transit Gateway, VPC Peering.
- Implement IAM least privilege, SCPs, KMS, Secrets Manager, SSO & identity governance.
- Configure AWS-native security: WAF, Shield, GuardDuty, Inspector, Macie, CloudTrail, Config, Security Hub.
- Harden VPC architecture, subnets, routing, SG/NACLs, multi-account environments.
- Ensure encryption of data at rest/in transit across all cloud services.
2. DevOps Security (IaC, CI/CD, Kubernetes, Linux)-
Infrastructure as Code & Automation Security:
- Secure Terraform, CloudFormation, Ansible with policy-as-code (OPA, Checkov, tfsec).
- Enforce misconfiguration scanning and automated remediation.
CI/CD Security:
- Secure Jenkins, GitHub, GitLab pipelines with SAST, DAST, SCA, secrets scanning, image scanning.
- Implement secure build, artifact signing, and deployment workflows.
Containers & Kubernetes:
- Harden Docker images, private registries, runtime policies.
- Enforce EKS security: RBAC, IRSA, PSP/PSS, network policies, runtime monitoring.
- Apply CIS Benchmarks for Kubernetes and Linux.
Monitoring & Reliability:
- Secure observability stack: Grafana, CloudWatch, logging, alerting, anomaly detection.
- Ensure audit logging across cloud/platform layers.
3. MLOps Security (Airflow, EMR, Spark, Data Platforms, ML Pipelines)-
Pipeline & Workflow Security:
- Secure Airflow/MWAA connections, secrets, DAGs, execution environments.
- Harden EMR, Spark jobs, Glue jobs, IAM roles, S3 buckets, encryption, and access policies.
ML Platform Security:
- Secure Jupyter/JupyterHub environments, containerized ML workspaces, and experiment tracking systems.
- Control model access, artifact protection, model registry security, and ML metadata integrity.
Data Security:
- Secure ETL/ML data flows across S3, Redshift, RDS, Glue, Kinesis.
- Enforce data versioning security, lineage tracking, PII protection, and access governance.
ML Observability:
- Implement drift detection (data drift/model drift), feature monitoring, audit logging.
- Integrate ML monitoring with Grafana/Prometheus/CloudWatch.
4. Network & Endpoint Security-
- Manage firewall policies, VPN, IDS/IPS, endpoint protection, secure LAN/WAN, Zero Trust principles.
- Conduct vulnerability assessments, penetration test coordination, and network segmentation.
- Secure remote workforce connectivity and internal office networks.
5. Threat Detection, Incident Response & Compliance-
- Centralize log management (CloudWatch, OpenSearch/ELK, SIEM).
- Build security alerts, automated threat detection, and incident workflows.
- Lead incident containment, forensics, RCA, and remediation.
- Ensure compliance with ISO 27001, SOC 2, GDPR, HIPAA (as applicable).
- Maintain security policies, procedures, RRPs (Runbooks), and audits.
IDEAL CANDIDATE:
- 8+ years in DevSecOps, Cloud Security, Platform Security, or equivalent.
- Proven ability securing AWS cloud ecosystems (IAM, EKS, EMR, MWAA, VPC, WAF, GuardDuty, KMS, Inspector, Macie).
- Strong hands-on experience with Docker, Kubernetes (EKS), CI/CD tools, and Infrastructure-as-Code.
- Experience securing ML platforms, data pipelines, and MLOps systems (Airflow/MWAA, Spark/EMR).
- Strong Linux security (CIS hardening, auditing, intrusion detection).
- Proficiency in Python, Bash, and automation/scripting.
- Excellent knowledge of SIEM, observability, threat detection, monitoring systems.
- Understanding of microservices, API security, serverless security.
- Strong understanding of vulnerability management, penetration testing practices, and remediation plans.
EDUCATION:
- Master’s degree in Cybersecurity, Computer Science, Information Technology, or related field.
- Relevant certifications (AWS Security Specialty, CISSP, CEH, CKA/CKS) are a plus.
PERKS, BENEFITS AND WORK CULTURE:
- Competitive Salary Package
- Generous Leave Policy
- Flexible Working Hours
- Performance-Based Bonuses
- Health Care Benefits
REVIEW CRITERIA:
MANDATORY:
- Strong Senior/Lead DevOps Engineer Profile
- Must have 8+ years of hands-on experience in DevOps engineering, with a strong focus on AWS cloud infrastructure and services (EC2, VPC, EKS, RDS, Lambda, CloudFront, etc.).
- Must have strong system administration expertise (installation, tuning, troubleshooting, security hardening)
- Must have solid experience in CI/CD pipeline setup and automation using tools such as Jenkins, GitHub Actions, or similar
- Must have hands-on experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible
- Must have strong database expertise across MongoDB and Snowflake (administration, performance optimization, integrations)
- Must have experience with monitoring and observability tools such as Prometheus, Grafana, ELK, CloudWatch, or Datadog
- Must have good exposure to containerization and orchestration using Docker and Kubernetes (EKS)
- Must be currently working in an AWS-based environment (AWS experience must be in the current organization)
- Its an IC role
PREFERRED:
- Must be proficient in scripting languages (Bash, Python) for automation and operational tasks.
- Must have strong understanding of security best practices, IAM, WAF, and GuardDuty configurations.
- Exposure to DevSecOps and end-to-end automation of deployments, provisioning, and monitoring.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
- Candidates from NCR region only (No outstation candidates).
ROLES AND RESPONSIBILITIES:
We are seeking a highly skilled Senior DevOps Engineer with 8+ years of hands-on experience in designing, automating, and optimizing cloud-native solutions on AWS. AWS and Linux expertise are mandatory. The ideal candidate will have strong experience across databases, automation, CI/CD, containers, and observability, with the ability to build and scale secure, reliable cloud environments.
KEY RESPONSIBILITIES:
Cloud & Infrastructure as Code (IaC)-
- Architect and manage AWS environments ensuring scalability, security, and high availability.
- Implement infrastructure automation using Terraform, CloudFormation, and Ansible.
- Configure VPC Peering, Transit Gateway, and PrivateLink/Connect for advanced networking.
CI/CD & Automation:
- Build and maintain CI/CD pipelines (Jenkins, GitHub, SonarQube, automated testing).
- Automate deployments, provisioning, and monitoring across environments.
Containers & Orchestration:
- Deploy and operate workloads on Docker and Kubernetes (EKS).
- Implement IAM Roles for Service Accounts (IRSA) for secure pod-level access.
- Optimize performance of containerized and microservices applications.
Monitoring & Reliability:
- Implement observability with Prometheus, Grafana, ELK, CloudWatch, M/Monit, and Datadog.
- Establish logging, alerting, and proactive monitoring for high availability.
Security & Compliance:
- Apply AWS security best practices including IAM, IRSA, SSO, and role-based access control.
- Manage WAF, Guard Duty, Inspector, and other AWS-native security tools.
- Configure VPNs, firewalls, and secure access policies and AWS organizations.
Databases & Analytics:
- Must have expertise in MongoDB, Snowflake, Aerospike, RDS, PostgreSQL, MySQL/MariaDB, and other RDBMS.
- Manage data reliability, performance tuning, and cloud-native integrations.
- Experience with Apache Airflow and Spark.
IDEAL CANDIDATE:
- 8+ years in DevOps engineering, with strong AWS Cloud expertise (EC2, VPC, TG, RDS, S3, IAM, EKS, EMR, SCP, MWAA, Lambda, CloudFront, SNS, SES etc.).
- Linux expertise is mandatory (system administration, tuning, troubleshooting, CIS hardening etc).
- Strong knowledge of databases: MongoDB, Snowflake, Aerospike, RDS, PostgreSQL, MySQL/MariaDB, and other RDBMS.
- Hands-on with Docker, Kubernetes (EKS), Terraform, CloudFormation, Ansible.
- Proven ability with CI/CD pipeline automation and DevSecOps practices.
- Practical experience with VPC Peering, Transit Gateway, WAF, Guard Duty, Inspector and advanced AWS networking and security tools.
- Expertise in observability tools: Prometheus, Grafana, ELK, CloudWatch, M/Monit, and Datadog.
- Strong scripting skills (Shell/bash, Python, or similar) for automation.
- Bachelor / Master’s degree
- Effective communication skills
PERKS, BENEFITS AND WORK CULTURE:
- Competitive Salary Package
- Generous Leave Policy
- Flexible Working Hours
- Performance-Based Bonuses
- Health Care Benefits
Job Description
Experience: 5 - 9 years
Location: Bangalore/Pune/Hyderabad
Work Mode: Hybrid(3 Days WFO)
Senior Cloud Infrastructure Engineer for Data Platform
The ideal candidate will play a critical role in designing, implementing, and maintaining cloud infrastructure and CI/CD pipelines to support scalable, secure, and efficient data and analytics solutions. This role requires a strong understanding of cloud-native technologies, DevOps best practices, and hands-on experience with Azure and Databricks.
Key Responsibilities:
Cloud Infrastructure Design & Management
Architect, deploy, and manage scalable and secure cloud infrastructure on Microsoft Azure.
Implement best practices for Azure Resource Management, including resource groups, virtual networks, and storage accounts.
Optimize cloud costs and ensure high availability and disaster recovery for critical systems
Databricks Platform Management
Set up, configure, and maintain Databricks workspaces for data engineering, machine learning, and analytics workloads.
Automate cluster management, job scheduling, and monitoring within Databricks.
Collaborate with data teams to optimize Databricks performance and ensure seamless integration with Azure services.
CI/CD Pipeline Development
Design and implement CI/CD pipelines for deploying infrastructure, applications, and data workflows using tools like Azure DevOps, GitHub Actions, or similar.
Automate testing, deployment, and monitoring processes to ensure rapid and reliable delivery of updates.
Monitoring & Incident Management
Implement monitoring and alerting solutions using tools like Dynatrace, Azure Monitor, Log Analytics, and Databricks metrics.
Troubleshoot and resolve infrastructure and application issues, ensuring minimal downtime.
Security & Compliance
Enforce security best practices, including identity and access management (IAM), encryption, and network security.
Ensure compliance with organizational and regulatory standards for data protection and cloud operations.
Collaboration & Documentation
Work closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to align infrastructure with business needs.
Maintain comprehensive documentation for infrastructure, processes, and configurations.
Required Qualifications
Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
Must Have Experience:
6+ years of experience in DevOps or Cloud Engineering roles.
Proven expertise in Microsoft Azure services, including Azure Data Lake, Azure Databricks, Azure Data Factory (ADF), Azure Functions, Azure Kubernetes Service (AKS), and Azure Active Directory.
Hands-on experience with Databricks for data engineering and analytics.
Technical Skills:
Proficiency in Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Bicep.
Strong scripting skills in Python, or Bash.
Experience with containerization and orchestration tools like Docker and Kubernetes.
Familiarity with version control systems (e.g., Git) and CI/CD tools (e.g., Azure DevOps, GitHub Actions).
Soft Skills:
Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.
Job Title: AWS Devops Engineer – Manager Business solutions
Location: Gurgaon, India
Experience Required: 8-12 years
Industry: IT
We are looking for a seasoned AWS DevOps Engineer with robust experience in AWS middleware services and MongoDB Cloud Infrastructure Management. The role involves designing, deploying, and maintaining secure, scalable, and high-availability infrastructure, along with developing efficient CI/CD pipelines and automating operational processes.
Key Deliverables (Essential functions & Responsibilities of the Job):
· Design, deploy, and manage AWS infrastructure, with a focus on middleware services such as API Gateway, Lambda, SQS, SNS, ECS, and EKS.
· Administer and optimize MongoDB Atlas or equivalent cloud-based MongoDB solutions for high availability, security, and performance.
· Develop, manage, and enhance CI/CD pipelines using tools like AWS CodePipeline, Jenkins, GitHub Actions, GitLab CI/CD, or Bitbucket Pipelines.
· Automate infrastructure provisioning using Terraform, AWS CloudFormation, or AWS CDK.
· Implement monitoring and logging solutions using CloudWatch, Prometheus, Grafana, or the ELK Stack.
· Enforce cloud security best practices — IAM, VPC setups, encryption, certificate management, and compliance controls.
· Work closely with development teams to improve application reliability, scalability, and performance.
· Manage containerized environments using Docker, Kubernetes (EKS), or AWS ECS.
· Perform MongoDB administration tasks such as backups, performance tuning, indexing, and sharding.
· Participate in on-call rotations to ensure 24/7 infrastructure availability and quick incident resolution.
Knowledge Skills and Abilities:
· 7+ years of hands-on AWS DevOps experience, especially with middleware services.
· Strong expertise in MongoDB Atlas or other cloud MongoDB services.
· Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or AWS CDK.
· Solid experience with CI/CD tools: Jenkins, CodePipeline, GitHub Actions, GitLab, Bitbucket, etc.
· Excellent scripting skills in Python, Bash, or PowerShell.
· Experience in containerization and orchestration: Docker, EKS, ECS.
· Familiarity with monitoring tools like CloudWatch, ELK, Prometheus, Grafana.
· Strong understanding of AWS networking and security: IAM, VPC, KMS, Security Groups.
· Ability to solve complex problems and thrive in a fast-paced environment.
Preferred Qualifications
· AWS Certified DevOps Engineer – Professional or AWS Solutions Architect – Associate/Professional.
· MongoDB Certified DBA or Developer.
· Experience with serverless services like AWS Lambda, Step Functions.
· Exposure to multi-cloud or hybrid cloud environments.
Mail updated resume with current salary-
Email: jobs[at]glansolutions[dot]com
Satish; 88O 27 49 743
Google search: Glan management consultancy
Role: Senior Platform Engineer (GCP Cloud)
Experience Level: 3 to 6 Years
Work location: Mumbai
Mode : Hybrid
Role & Responsibilities:
- Build automation software for cloud platforms and applications
- Drive Infrastructure as Code (IaC) adoption
- Design self-service, self-healing monitoring and alerting tools
- Automate CI/CD pipelines (Git, Jenkins, SonarQube, Docker)
- Build Kubernetes container platforms
- Introduce new cloud technologies for business innovation
Requirements:
- Hands-on experience with GCP Cloud
- Knowledge of cloud services (compute, storage, network, messaging)
- IaC tools experience (Terraform/CloudFormation)
- SQL & NoSQL databases (Postgres, Cassandra)
- Automation tools (Puppet/Chef/Ansible)
- Strong Linux administration skills
- Programming: Bash/Python/Java/Scala
- CI/CD pipeline expertise (Jenkins, Git, Maven)
- Multi-region deployment experience
- Agile/Scrum/DevOps methodology
Your challenge
As a DevOps Engineer, you’re responsible for automating the deployment of our software solutions. You interact with software engineers, functional product managers, and ICT professionals daily. Using your technical skills, you provide internal tooling for development and QA teams around the globe.
We believe in an integrated approach, where every team member is involved in all steps of the software development life cycle: analysis, architectural design, programming, and maintenance. We expect you to be the proud owner of your work and take responsibility for it.
Together with a tight-knit group of 5-6 team players, you develop, maintain and support key elements of our infrastructure:
- Continuous integration and production systems
- Release and build management
- Package management
- Containerization and orchestration
Your team
As our new DevOps Engineer, you’ll be part of a large, fast-growing, international team located in Belgium (Antwerp, Ghent, Wavre), Spain (Barcelona), Ukraine (Lviv), and the US (Atlanta). Software Development creates leading software solutions that make a difference to our customers. We make smart, robust, and scalable software to solve complex supply chain planning challenges.
Your profile
We are looking for someone who meets the following qualifications:
- A bachelor’s or master’s degree in a field related to Computer Science.
- Pride in developing high-quality solutions and taking responsibility for their maintenance.
- Minimum 6 years' experience in a similar role
- Good knowledge of the following technologies: Kubernetes, PowerShell or bash scripting, Jenkins, Azure Pipelines or similar automation systems, Git.
- Familiarity with the Cloud–Native Landscape. Terraform, Ansible, and Helm are tools we use daily.
- Supportive towards users.
Bonus points if you have:
- A background in DevOps, ICT, or technical support.
- Customer support experience or other relevant work experience, including internships.
- Understanding of Windows networks and Active Directory.
- Experience with transferring applications into the cloud.
- Programming skills.
Soft skills
Team Work
Pragmatic attitude
Passionate
Analytical thinker
Tech Savvy
Fast Learner
Hard skills
Kubernetes
CI/CD
Git
Powershell
Your future
At OMP, we’re eager to find your best career fit. Our talent management program supports your personal development and empowers you to build a career in line with your ambitions.
Many of our team members who start as DevOps Engineers grow into roles in DevOps/Cloud architecture, project management, or people management.
- 5+ years of experience in DevOps including automated system configuration, application deployment, and infrastructure-as-code.
- Advanced Linux system administration abilities.
- Real-world experience managing large-scale AWS or GCP environments. Multi-account management a plus.
- Experience with managing production environments on AWS or GCP.
- Solid understanding CI/CD pipelines using GitHub, CircleCI/Jenkins, JFrog Artifactory/Nexus.
- Experience on any configuration management tools like Ansible, Puppet or Chef is a must.
- Experience in any one of the scripting languages: Shell, Python, etc.
- Experience in containerization using Docker and orchestration using Kubernetes/EKS/GKE is a must.
- Solid understanding of SSL and DNS.
- Experience on deploying and running any open-source monitoring/graphing solution like Prometheus, Grafana, etc.
- Basic understanding of networking concepts.
- Always adhere to security best practices.
- Knowledge on Bigdata (Hadoop/Druid) systems administration will be a plus.
- Knowledge on managing and running DBs (MySQL/MariaDB/Postgres) will be an added advantage.
What you get to do
- Work with development teams to build and maintain cloud environments to specifications developed closely with multiple teams. Support and automate the deployment of applications into those environments
- Diagnose and resolve occurring, latent and systemic reliability issues across entire stack: hardware, software, application and network. Work closely with development teams to troubleshoot and resolve application and service issues
- Continuously improve Conviva SaaS services and infrastructure for availability, performance and security
- Implement security best practices – primarily patching of operating systems and applications
- Automate everything. Build proactive monitoring and alerting tools. Provide standards, documentation, and coaching to developers.
- Participate in 12x7 on-call rotations
- Work with third party service/support providers for installations, support related calls, problem resolutions etc.
Position Summary
Cloud Engineer helps to solutionize, enable, migrate and onboard clients to a secure cloud
platform, which offload the heavy lifting for the clients so that they can focus on their own business
value creation.
Job Description
- Assessing existing customer systems and/or cloud environment to determine the best migration approach and supporting tools used
- Build a secure and compliant cloud environment, with a proven enterprise operating model, on-going cost optimisation, and day-to-day infrastructure management
- Provide and implement cloud solutions to reduce operational overhead and risk, and automates common activities, such as change requests, monitoring, patch management, security, and backup services, and provides full-lifecycle services to provision, run, and support their infrastructure
- Collaborate with internal service teams to meet the clients’ needs for their infrastructure and application deployments
- Troubleshoot complex infrastructure deployments, recreate customer issues, and build proof of concept environments that abide by cloud-best-practices & well architecture frameworks
- Apply advanced troubleshooting techniques to provide unique solutions to our customers’ individual needs
- Work on critical, highly complex customer problems that will span across multiple cloud platforms and services
- Identify and drive improvements on process and technical related issues. Act as an escalation point of contact for the clients
- Drive clients meetings & communication during reviews
Requirement:
- Degree in computer science or a similar field.
- At least 2 year of experience in the field of cloud computing.
- Experience with CI/CD systems.
- Strong in Cloud services
- Exposure to AWS/GCP and other cloud-based infrastructure platforms
- Experience with AWS configuration and management – EC2, S3, EBS, ELB, IAM, VPC, RDS, CloudFront etc
- Exposure in architecting, designing, developing, and implementing cloud solutions on AWS platforms or other cloud server such as Azure, Google Cloud
- Proficient in the use and administration of all versions of MS Windows Server
- Experience with Linux and Windows system administration and web server configuration and monitoring
- Solid programming skills in Python, Java, Perl
- Good understanding of software design principles and best practices
- Good knowledge of REST APIs
- Should have hands-on experience in any deployment orchestration tool (Jenkins, Urbancode, Bamboo, etc.)
- Experience with Docker, Kubernetes, and Helm charts
- Hands on experience in Ansible and Git repositories
- Knowledge in Maven / Gradle
- Azure, AWS, and GCP certifications are preferred.
- Troubleshooting and analytical skills.
- Good communication and collaboration skills.
Hammoq is an exponentially growing Startup in US and UK.
Design and implement secure automation solutions for development, testing, and production environments
-
Build and deploy automation, monitoring, and analysis solutions
-
Manage our continuous integration and delivery pipeline to maximize efficiency
-
Implement industry best practices for system hardening and configuration management
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Secure, scale, and manage Linux virtual environments
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Develop and maintain solutions for operational administration, system/data backup, disaster recovery, and security/performance monitoring
-
Continuously evaluate existing systems with industry standards, and make recommendations for improvement
Desired Skills & Experiences
-
Bachelor’s or Master's degree in Computer Science, Engineering, or related field
-
Understanding of system administration in Linux environments
-
Strong knowledge of configuration management tools
-
Familiarity with continuous integration tools such as Jenkins, Travis CI, Circle CI
-
Proficiency in scripting languages including Bash, Python, and JavaScript
-
Strong communication and documentation skills
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An ability to drive to goals and milestones while valuing and maintaining a strong attention to detail
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Excellent judgment, analytical thinking, and problem-solving skills
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Full understanding of software development lifecycle best practices
-
Self-motivated individual that possesses excellent time management and organizational skills
In PM's Words
Bash scripting, Containerd(or docker), Linux Operating system basics, kubernetes, git, Jenkins ( or any pipeline management), GCP ( or idea on any cloud technology)
Linux is major..most of the people are coming from Windows.. we need Linux.. and if windows is also there it will be added advantage
There is utmost certainilty that you will be working with an amazing team...
Job Summary
You'd be meticulously analyzing project requirements and carry forward the development of highly robust, scalable and easily maintainable backend applications, work independently, and you'll have the support & opportunity to thrive in a fast-paced environment.
Responsibilities and Duties:
- building and setting up new development tools and infrastructure
- understanding the needs of stakeholders and conveying this to developers
- working on ways to automate and improve development and release processes
- testing and examining code written by others and analysing results
- ensuring that systems are safe and secure against cybersecurity threats
- identifying technical problems and developing software updates and ‘fixes’
- working with software developers and software engineers to ensure that development follows established processes and works as intended
- planning out projects and being involved in project management decisions
Skill Requirements:
- Managing GitHub (example: - creating branches for test, QA, development and production, creating Release tags, resolve merge conflict)
- Setting up of the servers based on the projects in either AWS or Azure (test, development, QA, staging and production)
- AWS S3 configuring and s3 web hosting, Archiving data from s3 to s3-glacier
- Deploying the build(application) to the servers using AWS CI/CD and Jenkins (Automated and manual)
- AWS Networking and Content delivery (VPC, Route 53 and CloudFront)
- Managing databases like RDS, Snowflake, Athena, Redis and Elasticsearch
- Managing IAM roles and policies for the functions like Lambda, SNS, aws cognito, secret manager, certificate manager, Guard Duty, Inspector EC2 and S3.
- AWS Analytics (Elasticsearch, Athena, Glue and kinesis).
- AWS containers (elastic container registry, elastic container service, elastic Kubernetes service, Docker Hub and Docker compose
- AWS Auto scaling group (launch configuration, launch template) and load balancer
- EBS (snapshots, volumes and AMI.)
- AWS CI/CD build spec scripting, Jenkins groovy scripting, shell scripting and python scripting.
- Sagemaker, Textract, forecast, LightSail
- Android and IOS automation building
- Monitoring tools like cloudwatch, cloudwatch log group, Alarm, metric dashboard, SNS(simple notification service), SES(simple email service)
- Amazon MQ
- Operating system Linux and windows
- X-Ray, Cloud9, Codestar
- Fluent Shell Scripting
- Soft Skills
- Scripting Skills , Good to have knowledge (Python, Javascript, Java,Node.js)
- Knowledge On Various DevOps Tools And Technologies
Qualifications and Skills
Job Type: Full-time
Experience: 4 - 7 yrs
Qualification: BE/ BTech/MCA.
Location: Bengaluru, Karnataka









